2014 Twentieth National Conference on Communications (NCC) 2014
DOI: 10.1109/ncc.2014.6811290
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A polymatroid approach to separable convex optimization with linear ascending constraints

Abstract: We revisit a problem studied by Padakandla and Sundaresan [SIAM J. Optim., August 2009] on the minimization of a separable convex function subject to linear ascending constraints. The problem arises as the core optimization in several resource allocation problems in wireless communication settings. It is also a special case of an optimization of a separable convex function over the bases of a specially structured polymatroid. We give an alternative proof of the correctness of the algorithm of Padakandla and Su… Show more

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Cited by 4 publications
(11 citation statements)
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References 14 publications
(26 reference statements)
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“…Furthermore, differently from [18] we do not impose any constraints on the slopes of f n . It is also worth mentioning that at the time of submission we became aware (through a private correspondence with the authors) of [20] in which the problem originally solved in [18] has been revisited in light of the theory of polymatroids. In particular, in [20] the authors have removed some of the restrictions on functions f n that were present in [18].…”
Section: B Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, differently from [18] we do not impose any constraints on the slopes of f n . It is also worth mentioning that at the time of submission we became aware (through a private correspondence with the authors) of [20] in which the problem originally solved in [18] has been revisited in light of the theory of polymatroids. In particular, in [20] the authors have removed some of the restrictions on functions f n that were present in [18].…”
Section: B Related Workmentioning
confidence: 99%
“…It is also worth mentioning that at the time of submission we became aware (through a private correspondence with the authors) of [20] in which the problem originally solved in [18] has been revisited in light of the theory of polymatroids. In particular, in [20] the authors have removed some of the restrictions on functions f n that were present in [18]. This allows them to come up with a solution similar to the one we propose in this work.…”
Section: B Related Workmentioning
confidence: 99%
“…Let w e : [0, b e ) → R, e = 1, 2, · · · , n be convex functions where 0 < b e ≤ ∞ and R = R ∪ {−∞, +∞} be the extended real line. We wish to minimize a separable objective function W : R n → R as in Problem Π : Minimize W (x) := n e=1 w e (x(e)) (1) subject to x(e) ∈ [0, β(e)], e = 1, 2, · · · , n,…”
Section: Introductionmentioning
confidence: 99%
“…It is also worth mentioning that at the time of submission we became aware of[13] in which the authors come up with an extended solution much similar to the proposed one using the theory of polymatroids.…”
mentioning
confidence: 98%